Web: http://arxiv.org/abs/2209.09809

Sept. 21, 2022, 1:13 a.m. | Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Diaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Kar

cs.CV updates on arXiv.org arxiv.org

Computer-aided detection systems based on deep learning have shown good
performance in breast cancer detection. However, high-density breasts show
poorer detection performance since dense tissues can mask or even simulate
masses. Therefore, the sensitivity of mammography for breast cancer detection
can be reduced by more than 20% in dense breasts. Additionally, extremely dense
cases reported an increased risk of cancer compared to low-density breasts.
This study aims to improve the mass detection performance in high-density
breasts using synthetic high-density full-field …

application arxiv deep learning detection fairness

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